CLARIN for Linguists Introduction Jan Odijk LOT Summerschool Nijmegen, 2014-06-23 1.

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Presentation transcript:

CLARIN for Linguists Introduction Jan Odijk LOT Summerschool Nijmegen,

CLARIN: Introduction CLARIN Infrastructure (focus on NL part) – CLARIN Portal – Find data and tools – Apply tools to data – Store data and tools Goals and Outline of this course Overview 2

 CLARIN: Introduction CLARIN Infrastructure (focus on NL part) – CLARIN Portal – Find data and tools – Apply tools to data – Store data and tools Goals and Outline of this course Overview 3

A research infrastructure for humanities researchers who work with digital language- related resources CLARIN Infrastructure 4

Infrastructure: – (Usually large-scale) basic physical and organizational resources, structures and services needed for the operation of a society or enterprise Railway network, road network, electricity network, … eduroam CLARIN Infrastructure 5

Research infrastructure – Infrastructure intended for carrying out research: facilities, resources and related services used by the scientific community to conduct top-level research – Famous ones: Chile large telescope, CERN Large Hadron Collider CLARIN Infrastructure 6

humanities researcher – Linguists, historians, literary scholars, philosophers, religion scholars, …. – And a little bit in the social sciences: e.g. political sciences researchers Focus here on linguists CLARIN Infrastructure 7

Digital language-related resources – Data in natural language (texts, lexicons, grammars) – Databases about natural language (typological databases, dialect databases, lexical databases, …) – Audio-visual data containing (written, spoken, signed) language (e.g. pictures of manuscripts, av- data for language description, description of sign language, interviews, radio and tv programmes, …) CLARIN Infrastructure 8

Language in various functions – As object of inquiry – As carrier of cultural content – As means of communication – As component of identity CLARIN Infrastructure 9

CLARIN – Has not created any new data – Has mainly adapted existing data and tools – Has created new easy and user-friendly tools for searching, analysing and visualising data CLARIN Infrastructure 10

The CLARIN infrastructure – Is distributed: implemented in a network of CLARIN centres – Is virtual: it provides services electronically (via the internet) The CLARIN infrastructure – Is still under construction Highly incomplete Fragile in some respects – But you can use many parts already CLARIN Infrastructure 11

Prepared by CLARIN preparatory project ( )CLARIN preparatory project – coordinated by Utrecht University From Feb 2012 coordinated by the CLARIN- ERIC, hosted by the Netherlands – ERIC: a legal entity at the European level specifically for research infrastructures ERIC – Other ERIC members: AT BG CZ DK DLU EE DE NO PL (SV) and growing CLARIN in Europe 12

– CLARIN ERIC: – National Consortia National Consortia Austria: CLARIN+DARIAH AustriaCLARIN+DARIAH Austria Bulgaria: Czech Republic: LINDAT CLARINLINDAT CLARIN Denmark: CLARIN DenmarkCLARIN Denmark Dutch Language Union: CLARIN DLU CLARIN FlandersCLARIN DLUCLARIN Flanders Estonia: CLARIN EstoniaCLARIN Estonia Germany: CLARIN-DCLARIN-D Netherlands: CLARIN-NLCLARIN-NL Norway: CLARINOCLARINO Poland: CLARIN PolandCLARIN Poland (Sweden) … CLARIN in Europe 13

CLARIN: Introduction  CLARIN Infrastructure (focus on NL part) – CLARIN Portal – Find data and tools – Apply tools to data – Store data and tools Goals and Outline of this course Overview 14

The CLARIN infrastructure offers services so that a researcher – Can find all data and tools relevant for the research – Can apply the tools and services to the data without any technical background or ad-hoc adaptations – Can store data and tools resulting from the research via one portal CLARIN Infrastructure 15

CLARIN: Introduction CLARIN Infrastructure (focus on NL part)  CLARIN Portal – Find data and tools – Apply tools to data – Store data and tools Goals and Outline of this course Overview 16

Portal – See next presentation CLARIN Infrastructure 17

CLARIN: Introduction CLARIN Infrastructure (focus on NL part) CLARIN Portal  Find data and tools – Apply tools to data – Store data and tools Goals and Outline of this course Overview 18

Searching for Data: See next Presentation CLARIN Infrastructure ‘ Can find all data and Tools’ 19

CLARIN: Introduction CLARIN Infrastructure (focus on NL part) – CLARIN Portal – Find data and tools  Apply tools to data – Store data and tools Goals and Outline of this course Overview 20

Illustration 1 (Search): Today, 2 nd hour Illustration 2 (Search, Syntax): Tue 24 th (GrETEL) Illustration 3 (Enrichment): Wed 25 th (TTNWW) Illustration 4 (Search, Lexical Semantics): Thur 26 th (Cornetto) Apply Tools to Data 21

CLARIN: Introduction CLARIN Infrastructure (focus on NL part) – CLARIN Portal – Find data and tools – Apply tools to data  Store data and tools Goals and Outline of this course Overview 22

What about your research data /software? – Make them CLARIN-compatibleCLARIN-compatible –  CLARIN tools and services apply to them For analysis, improvement, creation Others can use them more easily – Store them at a CLARIN CentreCLARIN Centre For long term preservation For easy access by you and others (e.g. via the VLO) For verifiability and replicability of your research – More details: Fri 27 th. CLARIN Infrastructure ‘Can store the data & tools’ 23

CLARIN: Introduction CLARIN Infrastructure (focus on NL part) – CLARIN Portal – Find data and tools – Apply tools to data – Store data and tools  Goals and Outline of this course Overview 24

Introduction to the CLARIN infrastructure Introduction to selected functionality within the CLARIN infrastructure – Focus on linguistics – Focus on results of CLARIN-NL Hopefully make you enthusiastic to use the CLARIN infrastructure and functionality in it – Because it improves your research If you use it, provide feedback – Helpdesk: – Service-specific user group lists Goals of the Course 25

Course programme 26 DayWhoWhat Mon 23rdJan Odijk Introduction Illustrative Usage Case Tue 24th Liesbeth AugustinusTreebank Mining By Example Frank Van EyndeNumber agreement in copular constructions Wed 25thMarc Kemps-Snijders Enriching your data with grammatical information using TTNWW Thu 26thPiek Vossen & Isa MaksCornetto Fri 26thJan Odijk Storing data in CLARIN Concluding Overview

For more details, see – – / merschool_Nijmegen/ / merschool_Nijmegen/ Course programme 27

Thanks for your Attention And Enjoy the Course! 28